ENTRIES TAGGED "distributed computing"
How neuroscience is benefiting from distributed computing — and how computing might learn from neuroscience.
When we think about big data, we usually think about the web: the billions of users of social media, the sensors on millions of mobile phones, the thousands of contributions to Wikipedia, and so forth. Due to recent innovations, web-scale data can now also come from a camera pointed at a small, but extremely complex object: the brain. New progress in distributed computing is changing how neuroscientists work with the resulting data — and may, in the process, change how we think about computation. Read more…
If all companies are software companies, then all companies must learn to manage their online operations.
Two years ago, I wrote What is DevOps. Although that article was good for its time, our understanding of organizational behavior, and its relationship to the operation of complex systems, has grown.
A few themes have become apparent in the two years since that last article. They were latent in that article, I think, but now we’re in a position to call them out explicitly. It’s always easy to think of DevOps (or of any software industry paradigm) in terms of the tools you use; in particular, it’s very easy to think that if you use Chef or Puppet for automated configuration, Jenkins for continuous integration, and some cloud provider for on-demand server power, that you’re doing DevOps. But DevOps isn’t about tools; it’s about culture, and it extends far beyond the cubicles of developers and operators. As Jeff Sussna says in Empathy: The Essence of DevOps:
…it’s not about making developers and sysadmins report to the same VP. It’s not about automating all your configuration procedures. It’s not about tipping up a Jenkins server, or running your applications in the cloud, or releasing your code on Github. It’s not even about letting your developers deploy their code to a PaaS. The true essence of DevOps is empathy.